Robotics

I have been playing with a #selfdriving car for a while , and that is super exciting. From a #AI and #ML perspective it is small scale but allows one to exploit all aspects of the tech stack and also appreciate the limitations of not only the software but also the hardware. With this, You run a NN on a raspberry pi that uses TensorFlow, and Keras and run inference on the edge. The pi doesn’t have enough power to train, so you need to do that on a beefier machine and then deploy the model back to run this. ...

If you were trying to pull the latest source code on your Raspberry Pi for donkeycar, and get the following error, then probably your clock is off (and I guess some nonce is failing). This can happen if your pi had been powered off for a while (as in my case), and it’s clock is off ( clock drift is a real thing) :). ...

I don’t think many people have heard of MOOS (which stands of Mission Oriented Operating Suite); I have been working with it for the past few months as part of my dissertation. And I must admit, the more I play with it, the more impressed I am. It is quite simple and yet powerful. Whilst MOOS’s roots are in robotics ( MRG ) and embedded systems, I wonder if I can extend it to use it some of the grid computing scenarios. Maybe implement a pMapReduce or pHadoop? Or perhaps a .NET implementation. Hmm, just need some time. If you need a robust, cross platform communication layer then check out MOOS . ...